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sparse grid method in the libor market model. option valuation and the

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There is an important difference between Itô’s formula <strong>and</strong> its determ<strong>in</strong>istic counterpart.<br />

The laws of stochastic calculus 8 stipulate that dWt<br />

2 = σt 2 dt, where W t is a<br />

Brownian motion. As a result, <strong>the</strong> second derivative term with respect to a stochastic<br />

factor is of <strong>the</strong> same order of accuracy as ∂f(t,X t)<br />

∂t<br />

<strong>and</strong> cannot be neglected.<br />

As a demostration of Itô’s lemma, let’s try to acquire <strong>the</strong> process for geometric<br />

Brownian motion as given by X t = W t <strong>and</strong> f(t, W t ) = S t = S 0 exp ( )<br />

νt + σW t ,<br />

which is also (2.11). The partial derivatives of S t with respect to time <strong>and</strong> Brownian<br />

motion are:<br />

<strong>and</strong> <strong>the</strong>refore:<br />

∂f(t, X t )<br />

∂t<br />

∂f(t, X t )<br />

∂ 2 f(t, X t )<br />

= νS t = σS t<br />

∂X t ∂Xt<br />

2 = σ 2 S t dt<br />

dS t = (ν + 1 2 σ2 )S t dt + σS t dW<br />

}{{} t<br />

} {{ }<br />

σ(t,S t )<br />

µ(t,S t)<br />

Thus, <strong>the</strong> process for prices given by geometric Brownian motion is an Itô process. We<br />

shall call ν + 1 2 σ2 - an <strong>in</strong>stantaneous expected return <strong>and</strong> ν - an overall expected return.<br />

Black-Scholes-Merton Model Hav<strong>in</strong>g accepted a log-normal distribution for <strong>the</strong><br />

cont<strong>in</strong>uous process of an underly<strong>in</strong>g asset, we have eventually prepared ourselves for<br />

discussion of Black-Scholes-Merton approach to <strong>option</strong> <strong>valuation</strong>. In <strong>the</strong>ir sem<strong>in</strong>al paper<br />

[Black <strong>and</strong> Scholes, 1973], Black <strong>and</strong> Scholes have suggested a <strong>model</strong> that dwells<br />

on several assumptions:<br />

• Trad<strong>in</strong>g proceeds cont<strong>in</strong>uously;<br />

• Stock prices follow a log-normal distribution, <strong>the</strong> process described by (2.15);<br />

• Absense of arbitrage opportunities;<br />

• No rebalanc<strong>in</strong>g costs;<br />

• Limitless lend<strong>in</strong>g <strong>and</strong> borrow<strong>in</strong>g is allowed;<br />

Hav<strong>in</strong>g imposed this sett<strong>in</strong>g, Black <strong>and</strong> Scholes argued that a short position <strong>in</strong> a derivative<br />

c t can be made riskless <strong>in</strong> case it is a part of a portfolio Π t such that:<br />

Π t = −c t + ∆ t S t (2.17)<br />

Both c t <strong>and</strong> S t depend on <strong>the</strong> same source of uncerta<strong>in</strong>ty, which is a Brownian Motion<br />

term W t of <strong>the</strong> stock price process. Therefore if Π t is constructed by tak<strong>in</strong>g reverse positions<br />

<strong>in</strong> a derivative <strong>and</strong> a certa<strong>in</strong> amount ∆ t of its underly<strong>in</strong>g, <strong>the</strong> Brownian motion<br />

terms cancel, elim<strong>in</strong>at<strong>in</strong>g <strong>the</strong> risk. Π t is called a Hedge portfolio. Accord<strong>in</strong>g to our<br />

no-arbitrage assumption, a position <strong>in</strong> a porfolio that has no risk must be of <strong>the</strong> same<br />

nature as a position <strong>in</strong> a risk-free cash bond B t , i.e. earn a risk-free <strong>in</strong>terest rate dur<strong>in</strong>g<br />

its lifetime:<br />

dΠ t = rΠ t dt<br />

8 Namely, <strong>the</strong> quadric variation result. See [E<strong>the</strong>rage, 2002].<br />

11

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